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Hi,
is there a way to penalize the magnitude of the constants (via, e.g., L2 regularization)? I am trying to fit a `SymbolicRegressor` with some noisy data and sometimes I get very large values for…
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all credit to @s1ddok for reporting this in https://github.com/tensorflow/swift-models/pull/394!
something is failing (i think block-based reduces) with the adamax/AMSGrad optimizers:
[edit: upd…
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http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/unix-gpu/branches/PR-14192/runs/6/nodes/271/log/?start=0
```
============================…
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### 🚀 The feature, motivation and pitch
This feature request revolves around augmenting the PyTorch CPP API by integrating additional optimizers that are currently absent. Specifically, I propose t…
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Hi.
Let me start by saying this project is great. Using it to generate larger images using cpu after experimenting to find interesting texts with gpu (limited by RAM). So far so good.
But for some …
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It seems like there's some inconsistencies with keras imports between keras versions.
Looking at the toml file I don't see any bounds on the versions.
In any case I'm on keras 2.8 and the followi…
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Hey, this isn't a pressing issue for me as i'm happy to use the other optimisers which are working fine. With some settings i occasionally get some errors from what i guess is the Tensor extension. Be…
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In one of the last cells,
```
model.compile(
loss='categorical_crossentropy', # we train 102-way classification
optimizer=keras.optimizers.adamax(lr=1e-2), # we can take big lr here be…
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All the optimizers listed [here](http://pytorch.org/docs/master/optim.html#algorithms):
- [x] SGD
- [x] Adam
- [x] RMSProp
- [x] Adagrad
- [ ] LBFGS
- [ ] Adadelta
- [ ] SparseAdam
- [ ] Ada…
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Year | Name | Description
-- | -- | --
1847 | Gradient descent | Cauchy 发明
-- | BGD |
-- | SGD |
-- | MBGD |
1964 | Momentum |
2013 | NAG |
2011 | Adagrad |
2012 | Adadelta |
2012…